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Premenstrual syndrome (PMS) is the emergence of periodic one or more symptoms of symptoms before menstruation and in the first few days of menstruation. Lifestyle is one of the series of factors that affect the health of people. Activity, smoking, and food intake are factors associated with lifestyle, and evidence suggests that women and girls with PMS do not have an adequate life span. The aim of this study was to determine the factors associated with PMS in female high school students.The global incidence of premenstrual syndrome is 47.8% (95% CI: 32.6-62.9). The incidence of premenstrual syndrome varies in different countries. For instance, the incidence of premenstrual syndrome was reported as 12.2% in France and 98.2% in Iran. The lowest prevalence of PMS Premenstrual Syndrome (PMS) is a collection of physical, cognitive, affective and behavioral cyclically occurring symptoms during the luteal phase of the menstrual cycle and resolve at or within a few days after the onset of menstrual flow. Though more than 200 symptoms have been known to occur, the most frequently occurring symptoms include headache, fatigue, bloating, backache, breast tenderness, food cravings, fatigue, anxiety, irritability, social withdrawal and depression. Premenstrual syndrome for most women started at their age of menarche. Educational status shows 60 (100%) were Higher secondary. Based on family history of premenstrual syndrome 42 (73.3%) were present with PMS. According the previous knowledge about PMS 47(78.3%) were have previous knowledge about PMS. Adolescent girls 46(76.7%) had moderate risk level of factors associated with premenstrual symptoms and 14(23.3%) had high risk level of factors associated with premenstrual symptoms. Mean (14.92) and standard deviation (3.038) of adolescent girls regarding level of factors associated on prevalance rate. Association shows significant relationship with the demographic variables. Age (p=0.044) , types of family (p=0.006) and No of siblings ( p=0.001) had shown statistically significant association between the level of the factors associated with premenstrual symptoms among adolescent girls with their selected demographic variables respectively.